Job Purpose Contribute to the design and prototyping of analytic engines and services with a foundational understanding of machine learning, data mining, and information retrieval concepts Job Responsibilities Develop statistical models and algorithms through the use of libraries and abstractions Conducts explority data analysis Create value out of various datasets Provide insights to BI and BA to further exploit and present their models. Apply advanced analytical techniques such as machine learning and artificial intelligence in order to derive business value. Conduct data discovery for inclusion in models. Proficiency in a programming toolset (for e.g, Python, R) for data manipulation and basic data analysis tasks. Grow in knowledge of latest tools and techniques with guidance from senior team members. Able to query and pre-process (wrangle/munge) data. Collaborates with senior data scientists/analysts/engineers to implement and deploy scalable solutions. Implement and maintain ML models and algorithms that drive innovation throughout the organization. Conduct self-development through researching best practices, conducting experiments, and collaborating with industry leaders. Monitor and maintain models in production and re-train if necessary. Support the achievement of the business strategy, objectives and values. Stay abreast of developments in field of expertise. Ensure personal growth and enable effectiveness in performance of roles and responsibilities. Contribute to the Nedbank Culture building initiatives (e.g. staff surveys etc.). Participate and support positive team culture in achievement of business strategy. Seek opportunities to improve business processes, models and systems though agile thinking. Job Responsibilities Continue People Specification Essential Qualifications – NQF Level Matric / Grade 12 / National Senior Certificate Advanced Diplomas/National 1st Degrees Preferred Qualification STEM Qualification Engineering Qualification, Computer Science, Econometrics, Mathematical Statistics, Actuary Science Masters or Doctorate will be an added advantage Essential Certifications Preferred Certifications Cloud (Azure, AWS), DEVOPS or Data engineering certification. Any Data Science certification will be an added advantage, Coursera, Udemy, SAS Data Scientist certification, Microsoft Data Scientist. Minimum Experience Level MS/PhD in STEM or related technical discipline 1-3 years experience in a statistical and/or data science role Cursory knowledge of machine learning, statistics, optimization or related field Experience with R, Python, Matlab is required, programming in C, C++, Java Experience working with large data sets, simulation/ optimization, and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.) Excellent written and verbal communication skills along with strong desire to work in cross functional teams Attitude to thrive in a fun, agile start-up like environment Technical / Professional Knowledge Data Mining Data analysis Data structures Presentation Skills Problem solving skills Programming Supervised Learning Unsupervised Learning NLP Statistical Analysis Data Visualisation Feature Engineering/Selection Hyper Parameter Tuning Research and analytics Continuous Learning AI Ethics and Fairness Behavioural Competencies Planning and Organizing Collaborating Continuous Improvement Innovation Leveraging Feedback Applied Learning

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